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20 pages, 5482 KiB  
Article
Diversity and Functional Insights into Endophytic Fungi in Halophytes from West Ordos Desert Ecosystems
by Xingzhe Wang, Yan Zhang, Jingpeng Li, Yiteng Ding, Xiaodan Ma, Peng Zhang, Haijing Liu, Jie Wei and Yuying Bao
J. Fungi 2025, 11(1), 30; https://doi.org/10.3390/jof11010030 (registering DOI) - 4 Jan 2025
Viewed by 83
Abstract
Arid desert regions are among the harshest ecological environments on Earth. Halophytes, with their unique physiological characteristics and adaptability, have become the dominant vegetation in these areas. Currently, research on halophytes in this region is relatively limited, particularly concerning studies related to their [...] Read more.
Arid desert regions are among the harshest ecological environments on Earth. Halophytes, with their unique physiological characteristics and adaptability, have become the dominant vegetation in these areas. Currently, research on halophytes in this region is relatively limited, particularly concerning studies related to their root endophytic fungi, which have been rarely reported on. Therefore, investigating the diversity and composition of endophytic fungi in halophytes is crucial for maintaining ecological balance in such an arid environment. This study focuses on eight representative angiosperm halophytes from the West Ordos Desert in China (including Nitraria tangutorum, Salsola passerina, Suaeda glauca, Reaumuria trigyna, Reaumuria kaschgarica, Limonium aureum, Apocynum venetum, and Tripolium vulgare), utilizing Illumina MiSeq high-throughput sequencing technology combined with soil physicochemical factor data to analyze the diversity, composition, and ecological functions of their root-associated fungal communities. Ascomycota dominated the fungal composition in most halophytes, particularly among the recretohalophytes, where it accounted for an average of 88.45%, while Basidiomycota was predominant in Suaeda glauca. A Circos analysis of the top 10 most abundant genera revealed Fusarium, Dipodascus, Curvularia, Penicillium, and other dominant genera. Co-occurrence network analysis showed significant differences in fungal networks across halophyte types, with the most complex network observed in excreting halophytes, characterized by the highest number of nodes and connections, indicating tighter fungal symbiotic relationships. In contrast, fungal networks in pseudohalophytes were relatively simple, reflecting lower community cohesiveness. Redundancy analysis (RDA) and Mantel tests demonstrated that soil factors such as organic matter, available sulfur, and urease significantly influenced fungal diversity, richness, and evenness, suggesting that soil physicochemical properties play a critical role in regulating fungal–plant symbiosis. Functional predictions indicated that endophytic fungi play important roles in metabolic pathways such as nucleotide biosynthesis, carbohydrate degradation, and lipid metabolism, which may enhance plant survival in saline–alkaline and arid environments. Furthermore, the high abundance of plant pathogens and saprotrophs in some fungal communities suggests their potential roles in plant defense and organic matter decomposition. The results of this study provide a reference for advancing the development and utilization of halophyte endophytic fungal resources, with applications in desert ecosystem restoration and halophyte cultivation. Full article
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<p>Clustering and comparative analyses of Amplicon Sequence Variants (ASVs) in endophytic fungi from different halophytes: (<b>a</b>) recretohalophytes, (<b>b</b>) euhalophytes, (<b>c</b>) pseudohalophytes, and (<b>d</b>) represents all eight types of halophytes.</p>
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<p>Analysis of endophytic fungal diversity in eight halophyte species. (<b>a</b>) Alpha diversity index. (<b>b</b>) NMDS analysis (non-metric multidimensional scaling analysis). (<b>c</b>) Cluster analysis based on Bray–Curtis distance algorithm. Wilcoxon rank-sum test was used to analyze <span class="html-italic">p</span> value. * represents significant difference between mean values of two groups of samples. Significance levels are as follows: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Overlapping and divergent endophytic fungal taxa in eight halophyte groups. (<b>a</b>) Representative phylum level, (<b>b</b>) representative genus level, (<b>c</b>) classification level tree.</p>
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<p>LEfSe analysis of abundance of endophytic fungi in eight halophyte species. (<b>a</b>) Cladogram is used to show taxonomic distribution of marker species in each group of samples, (<b>b</b>) indicator microbial groups with LDA scores &gt; 4.</p>
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<p>Co-occurrence network pattern of three different types of halophytes. (<b>a</b>–<b>c</b>) represent recretohalophytes, euhalophytes, and pseudohalophytes, respectively. (<b>d</b>–<b>f</b>) represent Zi-Pi graphs based on topological roles in networks of recretohalophytes, euhalophytes, and pseudohalophytes, respectively.</p>
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<p>An RDA plot (redundancy analysis plot). (<b>a</b>,<b>b</b>) represent the associations between endophytic fungi in different halophytes and soil factors at the phylum and genus levels, respectively. (<b>c</b>) represents the Mantel correlation analysis between soil physicochemical factors and endophytic fungal diversity. The line color represents a significant difference. The thickness of the line represents the size of the correlation coefficient.</p>
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<p>(<b>a</b>) shows the relative abundance of endophytic fungal metabolic pathways based on PICRUSt2 analysis, while (<b>b</b>) represents the functional prediction of endophytic fungi using FUNGuild.</p>
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28 pages, 762 KiB  
Review
Theory and Practice of Burning Solid Biofuels in Low-Power Heating Devices
by Małgorzata Dula and Artur Kraszkiewicz
Energies 2025, 18(1), 182; https://doi.org/10.3390/en18010182 - 3 Jan 2025
Viewed by 287
Abstract
Combustion is the most advanced and proven method on the market for using agricultural by-product residues and waste from the agri-food industry. Currently, a wide range of combustion technologies is used to produce heat and electricity in low-power heating devices (> 50 kW) [...] Read more.
Combustion is the most advanced and proven method on the market for using agricultural by-product residues and waste from the agri-food industry. Currently, a wide range of combustion technologies is used to produce heat and electricity in low-power heating devices (> 50 kW) using various types of biofuels from biomass (woody biomass, herbaceous biomass, waste and residues from the agri-food industry). Combustion of biomass fuels, especially those of wood origin, causes lower carbon dioxide (CO2) and sulfur oxides (SOx) emissions into the atmosphere compared to coal combustion. The growing interest in solid biofuels has contributed to intensive activities on improving the combustion process and energy devices enabling effective and economic conversion of chemical energy contained in biomass into other usable forms such as heat, electricity. Having good quality fuel, it is necessary to ensure an appropriate, clean combustion technique, which allows to achieve the highest thermal efficiency of the heating device and at the same time the lowest emission of pollutants. The article presents issues related to the theory, characteristics of the combustion process and problems related to the formation of harmful chemical compounds nitrogen oxides (NOx), SOx, carbon monoxide (CO), particulate matter (PM) emitted to the atmosphere during the combustion process in low-power heating devices. The analysis indicates the possibility of minimizing undesirable phenomena during the combustion of these biofuels related to ash sintering, the formation of deposits, corrosion and improving the amount of condensable solid particles formed and therefore reducing the emission of gaseous products to the environment. Full article
(This article belongs to the Special Issue Advanced Combustion Technologies and Emission Control)
19 pages, 7895 KiB  
Article
Change in Lead–Zinc Waste Slag’s Physical and Chemical Properties and Heavy Metal Migration Characteristics Under Acid Soaking Environment
by Shibo Li, Fuli Han, Jianquan Ma, Junfang Dai, Hao Guo, Jinduo Chen, Yashu Ji and Chenguang Xiang
Water 2025, 17(1), 115; https://doi.org/10.3390/w17010115 - 3 Jan 2025
Viewed by 242
Abstract
As a kind of industrial solid waste, lead–zinc waste slag can easily cause heavy metal migration in acid environments, resulting in safety risks. Along these lines, in this work, the waste slag of a lead–zinc mining area in western Qinling, Shaanxi, China, was [...] Read more.
As a kind of industrial solid waste, lead–zinc waste slag can easily cause heavy metal migration in acid environments, resulting in safety risks. Along these lines, in this work, the waste slag of a lead–zinc mining area in western Qinling, Shaanxi, China, was selected as the experimental material. Seven groups of acid soaking solutions with different pH values were set up with three parallel samples in each group, and the acid soaking experiments were conducted for 100 days. During the experiment, the electrical conductivity, pH value, and heavy metal content of the solution, as well as the pore distribution and heavy metal content of the waste slag surface, were measured. The results showed that with pH = 4 and pH = 7 as the environmental limit values, the pH value, electrical conductivity (EC), and heavy metal contents in the solution changed to different types after the waste slag was soaked in the solution with a pH of less than 4 and the solution with a pH of 5–7. The release of heavy metals from waste slag exceeded the discharge standard in the environment with a pH of less than 4, and the pore structure of waste slag was obviously enhanced, especially in the soaking solution with an initial pH of 1. The maximum soaking amounts of Zn, Pb, and Cd were 2.584 mg/L, 1.28 mg/L, and 0.0169 mg/L, respectively, during the experiment, which did not meet the “Environmental quality standards for surface water” (GB 3838-2002) and could not be excreted as direct surface water. However, when the environmental pH was greater than 7, the heavy metals showed reverse adsorption. This result indicated that when the acid soaking solution entered the alkaline range, the heavy metal content in the solution was less, which can basically meet the discharge standard. However, the pores of waste slag continued to expand. Our work provides valuable insights into the treatment of waste slag and environmental protection in lead-zinc mining areas containing sulfur. Full article
33 pages, 1735 KiB  
Review
Ambient Air Pollution and Congenital Heart Disease: Updated Evidence and Future Challenges
by Francesca Gorini and Alessandro Tonacci
Antioxidants 2025, 14(1), 48; https://doi.org/10.3390/antiox14010048 - 3 Jan 2025
Viewed by 255
Abstract
Congenital heart disease (CHD) represents the major cause of infant mortality related to congenital anomalies globally. The etiology of CHD is mostly multifactorial, with environmental determinants, including maternal exposure to ambient air pollutants, assumed to contribute to CHD development. While particulate matter (PM) [...] Read more.
Congenital heart disease (CHD) represents the major cause of infant mortality related to congenital anomalies globally. The etiology of CHD is mostly multifactorial, with environmental determinants, including maternal exposure to ambient air pollutants, assumed to contribute to CHD development. While particulate matter (PM) is responsible for millions of premature deaths every year, overall ambient air pollutants (PM, nitrogen and sulfur dioxide, ozone, and carbon monoxide) are known to increase the risk of adverse pregnancy outcomes. In this literature review, we provide an overview regarding the updated evidence related to the association between maternal exposure to outdoor air pollutants and CHD occurrence, also exploring the underlying biological mechanisms from human and experimental studies. With the exception of PM, for which there is currently moderate evidence of its positive association with overall CHD risk following exposure during the periconception and throughout pregnancy, and for ozone which shows a signal of association with increased risk of pooled CHD and certain CHD subtypes in the periconceptional period, for the other pollutants, the data are inconsistent, and no conclusion can be drawn about their role in CHD onset. Future epidemiological cohort studies in countries with different degree of air pollution and experimental research on animal models are warranted to gain a comprehensive picture of the possible involvement of ambient air pollutants in CHD etiopathogenesis. While on the one hand this information could also be useful for timely intervention to reduce the risk of CHD, on the other hand, it is mandatory to scale up the use of technologies for pollutant monitoring, as well as the use of Artificial Intelligence for data analysis to identify the non-linear relationships that will eventually exist between environmental and clinical variables. Full article
(This article belongs to the Special Issue Oxidative Stress and Environmental Toxicology)
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<p>Penetration of particulate matter into the human body, depending on its size (image partially generated using the Artificial Intelligence tool Microsoft Bing).</p>
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<p>Paradigm of citizen science, using consumer technology and Artificial Intelligence to study the effects of air pollution on CHD (image partially generated by the Artificial Intelligence tool Microsoft Bing).</p>
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<p>Schematic representation of the main mechanisms hypothesized to explain the potential role of ambient air pollutants that increase the risk of congenital heart disease (see text for more details). Abbreviations: 3-NTp: 3-nitrotyrosine; 8-OHdG: 8-hydroxy-2′-deoxyguanosine; ACE: angiotensin-converting enzyme; BID: BH3 interacting domain death agonist; CAT: catalase; CO: carbon monoxide; CRP: C-reactive protein; Dnmt: DNA methyltransferase; ET-1: endothelin 1; FOXN3: forkhead box N3; HSD11B2: 11β-hydroxysteroid dehydrogenase 2; IGF-2: insulin-like growth factor 2; IL: interleukin; iNOS: inducible nitric oxide synthase; LINE: long interspersed nucleotide element MCP-1: monocyte chemoattractant protein-1; MDA: malondialdehyde; mtDNA: mitochondrial DNA NO<sub>2</sub>: nitrogen dioxide; NF-κB: nuclear factor kappa-light-chain-enhancer of activated B cells; NOX: NADPH oxidase; O<sub>3</sub>: ozone; PM<sub>2.5</sub>: particulate matter with aerodynamic diameter less than 2.5 µM; PM<sub>10</sub>: particulate matter with aerodynamic diameter less than 10 µM; SO<sub>2</sub>: sulfur dioxide; Sirt: sirtuin; TNF-α: tumor necrosis factor alpha; TPO: thyroid peroxidase; XOR: xanthine oxidoreductase.</p>
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14 pages, 3858 KiB  
Review
The Development of Activated Carbon from Animal and Plant Biomass Sources for Lithium–Sulfur Battery Applications: A Mini-Review
by Seongki Ahn
Coatings 2025, 15(1), 43; https://doi.org/10.3390/coatings15010043 - 3 Jan 2025
Viewed by 351
Abstract
Lithium–sulfur batteries (LSBs) represent a promising next-generation energy storage technology due to their superior theoretical capacity and energy density compared to conventional lithium-ion batteries. Despite these advantages, their commercialization is hindered by intrinsic challenges such as sulfur’s low electrical conductivity, the polysulfide shuttle [...] Read more.
Lithium–sulfur batteries (LSBs) represent a promising next-generation energy storage technology due to their superior theoretical capacity and energy density compared to conventional lithium-ion batteries. Despite these advantages, their commercialization is hindered by intrinsic challenges such as sulfur’s low electrical conductivity, the polysulfide shuttle effect during cycling, and lithium dendrite formation. This mini-review examines recent advancements in leveraging biomass-derived activated carbon for LSB applications. The review categorizes biomass sources into animal- and plant-based precursors and highlights their respective synthesis processes. Furthermore, it discusses innovative strategies for utilizing these materials to mitigate the challenges of LSB performance and stability, paving the way for more sustainable and efficient energy storage systems. Full article
(This article belongs to the Special Issue Environmentally Friendly Energy Conversion Materials and Thin Films)
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<p>Critical issues and challenges for the commercialization of LSBs. (<b>a</b>–<b>c</b>) Comparison of the utilization of the active material in the LIB and LSB systems. (<b>d</b>,<b>e</b>) LiPS dissolution testing by H-type cell. Reproduced with permission. Copyright 2023, RSC [<a href="#B14-coatings-15-00043" class="html-bibr">14</a>]. (<b>f</b>,<b>g</b>) Schematic of Li dendrite growth. (<b>h</b>,<b>i</b>) SEM image of Li dendrite growth. Copyright 2017, Wiley [<a href="#B15-coatings-15-00043" class="html-bibr">15</a>].</p>
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<p>(<b>a</b>) Synthesis process of BDPAC using bovine bone; (<b>b</b>) cyclability of Li-S cell tested with bovine bone-derived BDPAC. Copyright 2019, Elsevier [<a href="#B26-coatings-15-00043" class="html-bibr">26</a>]. (<b>c</b>) Research process of BDPAC using waste tuna bone and its structure; (<b>d</b>,<b>e</b>) LiPS absorption test; (<b>f</b>) FE-SEM cross-section image and (<b>g</b>) UV–Vis spectra curves. Copyright 2017, Elsevier [<a href="#B27-coatings-15-00043" class="html-bibr">27</a>].</p>
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<p>(<b>a</b>) Schematic illustration of a BDPAC composite with MXene nanosheets using wood fiber-derived biomass; (<b>b</b>) SEM image of the BDPAC composite with MXene nanosheets; (<b>c</b>) cyclability for 120 cycles. Copyright 2024, Elsevier [<a href="#B30-coatings-15-00043" class="html-bibr">30</a>]. (<b>d</b>) Synthesis process of BDPAC decorated with g-C<sub>3</sub>N<sub>4</sub>; (<b>e</b>) rate–performance at various C-rate conditions from 0.2 to 2 C-rate; (<b>f</b>) cyclability for 250 cycles. Copyright 2020, Elsevier [<a href="#B31-coatings-15-00043" class="html-bibr">31</a>].</p>
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<p>(<b>a</b>) Schematic illustration of garlic peel-derived BDPAC; (<b>b</b>) porosity analysis of garlic peel-derived BDPAC; (<b>c</b>) cyclability for 400 cycles; (<b>d</b>) long-term cyclability of garlic peel-derived BDPAC at 0.5, 1, and 2 C-rate. Copyright 2021, Elsevier [<a href="#B62-coatings-15-00043" class="html-bibr">62</a>]. SEM images of peanut shell-derived BDPAC and S composite (<b>e</b>) before and (<b>f</b>) after cycling. Copyright 2021, Elsevier [<a href="#B53-coatings-15-00043" class="html-bibr">53</a>].</p>
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<p>(<b>a</b>) Synthesis process of sweet potato-derived carbon aerogels and (<b>b</b>) long-term cycle test of sweet potato-derived carbon aerogel-modified separator in LSBs for 1000 cycles. Copyright 2017, American Chemical Society [<a href="#B63-coatings-15-00043" class="html-bibr">63</a>].</p>
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<p>(<b>a</b>) Fabrication process of watermelon-derived BDPAC; cross-section SEM images of (<b>b</b>) Li anodes with watermelon-derived BDPAC and (<b>c</b>) pristine Li anode; (<b>d</b>) cyclability for 300 cycles. Copyright 2021, Wiley [<a href="#B75-coatings-15-00043" class="html-bibr">75</a>]. (<b>e</b>) Illustration of Li plating on the Cu substrate with/without chlorella-based BDPAC; electrochemical performance of LSBs with chlorella-based BDPAC: (<b>f</b>) C-rate performance and (<b>g</b>) cyclability. (<b>h</b>) Digital image of lithium surface after cycling. Copyright 2021, Elsevier [<a href="#B78-coatings-15-00043" class="html-bibr">78</a>].</p>
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12 pages, 2650 KiB  
Article
A Sensitive and Selective Electrochemical Aptasensor for Carbendazim Detection
by Suthira Pushparajah, Mahnaz Shafiei and Aimin Yu
Biosensors 2025, 15(1), 15; https://doi.org/10.3390/bios15010015 - 3 Jan 2025
Viewed by 186
Abstract
Carbendazim (CBZ) is used to prevent fungal infections in agricultural crops. Given its high persistence and potential for long-term health effects, it is crucial to quickly identify pesticide residues in food and the environment in order to mitigate excessive exposure. Aptamer-based sensors offer [...] Read more.
Carbendazim (CBZ) is used to prevent fungal infections in agricultural crops. Given its high persistence and potential for long-term health effects, it is crucial to quickly identify pesticide residues in food and the environment in order to mitigate excessive exposure. Aptamer-based sensors offer a promising solution for pesticide detection due to their exceptional selectivity, design versatility, ease of use, and affordability. Herein, we report the development of an electrochemical aptasensor for CBZ detection. The sensor was fabricated through a one-step electrodeposition of platinum nanoparticles (Pt NPs) and reduced graphene oxide (rGO) on a glassy carbon electrode (GCE). Then, a CBZ-specific aptamer was attached via Pt-sulfur bonds. Upon combining CBZ with the aptamer on the electrode surface, the redox reaction of the electrochemical probe K4[Fe(CN)6] is hindered, resulting in a current drop. Under optimized conditions (pH of 7.5 and 25 min of incubation time), the proposed aptasensor showed a linear current reduction to CBZ concentrations between 0.5 and 15 nM. The limit of detection (LOD) for this proposed aptasensor is 0.41 nM. Along with its repeatable character, the aptasensor demonstrated better selectivity for CBZ compared to other potential compounds. The recovery rates for detecting CBZ in skim milk and tap water using the standard addition method were 98% and 96%, respectively. The proposed aptasensor demonstrated simplicity, sensitivity, and selectivity for detecting CBZ with satisfactory repeatability. It establishes a strong foundation for environmental monitoring of CBZ. Full article
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<p>Schematic illustration of the preparation of the electrochemical aptasensor for CBZ detection.</p>
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<p>SEM images of (<b>A</b>) Pt-rGO/GCE and (<b>B</b>) Apt-Pt-rGO/GCE. XPS spectra of (<b>C</b>) wide scan of Apt-Pt-rGO/GCE, and (<b>D</b>) Peak binding energy shift of Pt 4f (a) before and (b) after aptamer immobilization.</p>
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<p>(<b>A</b>) CV plots and (<b>B</b>) Nyquist diagrams of EIS of (a) bare GCE, (b) Pt-rGO/GCE, and (c) Apt-Pt-rGO/GCE in a 0.1 M KCl solution containing 1.0 mM K<sub>4</sub>[Fe(CN)<sub>6</sub>].</p>
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<p>(<b>A</b>) DPVs of 1.0 mM K<sub>4</sub>[Fe(CN)<sub>6</sub>] at the aptasensor before and after adding 4 nM and 10 nM of CBZ in pH 7.0 PBS containing 0.1 M KCl. The effects of (<b>B</b>) incubation time (pH fixed at 7.0) and (<b>C</b>) pH (incubation time fixed at 25 min) on the CBZ current response.</p>
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<p>(<b>A</b>) DPV responses of the aptasensor toward CBZ with different concentrations (0, 0.5, 1, 2, 4, 6, 8, 10, and 15 nM) in pH 7.5 PBS containing 1.0 mM K<sub>4</sub>[Fe(CN)<sub>6</sub>] and 0.1 M KCl. (<b>B</b>) Linear curve of ΔI vs. CBZ concentration (nM).</p>
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<p>(<b>A</b>) Selectivity performance of the aptasensor in 10 nM of ciprofloxacin, acetaminophen, ascorbic acid, glucose, NaCl, KI, KNO<sub>3</sub>, and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub> in pH 7.5 PBS containing 1.0 mM K<sub>4</sub>[Fe(CN)<sub>6</sub>]. (<b>B</b>) Repeatability of the aptasensor in five samples containing 15 nM CBZ. (<b>C</b>) Current response of the aptasensor to 2 nM of CBZ when kept at 4 °C for 0, 7, 14, and 21 days.</p>
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13 pages, 890 KiB  
Article
A Reduced-Order Model of Lithium–Sulfur Battery Discharge
by Noushin Haddad and Hosam K. Fathy
Batteries 2025, 11(1), 15; https://doi.org/10.3390/batteries11010015 - 2 Jan 2025
Viewed by 231
Abstract
This paper examines the problem of modeling lithium–sulfur (Li-S) battery discharge dynamics. The importance of this problem stems from the attractive specific energy levels achievable by Li-S batteries, which can be particularly appealing for applications such as aviation electrification. Previous research presents different [...] Read more.
This paper examines the problem of modeling lithium–sulfur (Li-S) battery discharge dynamics. The importance of this problem stems from the attractive specific energy levels achievable by Li-S batteries, which can be particularly appealing for applications such as aviation electrification. Previous research presents different Li-S battery models, including “zero-dimensional” models that neglect diffusion while using the laws of electrochemistry to represent reduction–oxidation (redox) rates. Zero-dimensional models typically succeed in capturing key features of Li-S battery discharge, including the high plateau, low plateau, and dip point visible in the discharge curves of certain Li-S battery chemistries. However, these models’ use of one state variable to represent the mass of each active species tends to furnish high-order models, with many state variables. This increases the computational complexity of model-based estimation and optimal control. The main contribution of this paper is to develop low-order state-space model of Li-S battery discharge. Specifically, the paper starts with a seventh-order zero-dimensional model of Li-S discharge dynamics, analyzes its discharge behavior, constructs phenomenological second- and third-order models capable of replicating this behavior, and parameterizes these models. The proposed models succeed in capturing battery discharge behavior accurately over a wide range of discharge rates. To the best of our knowledge, these are two of the simplest published models capable of doing so. Full article
(This article belongs to the Special Issue Energy-Dense Metal–Sulfur Batteries)
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<p>Li-S battery discharge voltage characteristics.</p>
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<p>Species mass histories for 1 C discharge.</p>
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<p>Simulated discharge at a 1 C rate.</p>
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<p>Li-S discharge voltage characteristics for different C-rates.</p>
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<p>Discharge characteristics versus scaled discharge capacity.</p>
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<p>Results of fitting open-circuit voltage versus state of charge.</p>
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<p>Discharge voltage at 1 C-rate.</p>
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<p>Discharge voltage at 0.02 C-rate.</p>
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<p>Second-order model fitting results at 0.02 C.</p>
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<p>Second-order model fitting results at 1 C.</p>
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18 pages, 3468 KiB  
Review
Environmental Fate, Ecotoxicity, and Remediation of Heterocyclic Pharmaceuticals as Emerging Contaminants: A Review of Long-Term Risks and Impacts
by Oussama Baaloudj, Laura Scrano, Sabino Aurelio Bufo, Lee-Ann Sade Modley, Filomena Lelario, Angelica Rebecca Zizzamia, Lucia Emanuele and Monica Brienza
Organics 2025, 6(1), 1; https://doi.org/10.3390/org6010001 - 2 Jan 2025
Viewed by 443
Abstract
Heterocyclic pharmaceuticals are emerging contaminants due to their toxic, carcinogenic nature and detrimental impact on the natural ecosystem. These compounds pose a significant environmental concern given their widespread use in medical therapy, constituting over 90% of new medications. Their unique chemical structure contributes [...] Read more.
Heterocyclic pharmaceuticals are emerging contaminants due to their toxic, carcinogenic nature and detrimental impact on the natural ecosystem. These compounds pose a significant environmental concern given their widespread use in medical therapy, constituting over 90% of new medications. Their unique chemical structure contributes to their persistence in various environmental matrices, necessitating urgent measures to mitigate their risks. This review comprehensively examines the sources, environmental fate, toxicity, and long-term risks associated with heterocyclic pharmaceuticals, proposing potential remediation strategies. The article commences with an overview of the diverse types of heterocyclic pharmaceuticals and their applications, focusing on compounds containing heteroatoms such as nitrogen, oxygen, and sulfur. Subsequently, it explores the sources and pathways through which these pollutants enter the environment, including wastewater discharge, agricultural runoff, improper disposal, resistance to biodegradation, and bioaccumulation. The toxic effects and long-term consequences of exposure to heterocyclic pharmaceuticals are then discussed, encompassing neurotoxicity, genotoxicity, mutagenesis, cardiovascular and metabolic toxicity, carcinogenicity, and teratogenesis. Additionally, this review summarizes various remediation strategies and treatment solutions aimed at reducing the environmental impact of these compounds, drawing insights from the literature. The research concludes by identifying critical areas for future research, emphasizing the urgent need for more effective remediation strategies to address the growing concern posed by these emerging contaminants. Full article
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<p>Structure of common indole derivatives and their application in pharmaceutical chemistry.</p>
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<p>Structure of common benzimidazole derivatives and their application in pharmaceutical chemistry.</p>
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<p>Structure of common pyrazole derivatives and their application in pharmaceutical chemistry.</p>
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<p>Common oxazole-derived medicinal agents and their application in pharmaceutical chemistry.</p>
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<p>Common thiophene derivatives and their application in pharmaceutical chemistry.</p>
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<p>Common thiazole derivatives and their application in pharmaceutical chemistry.</p>
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<p>Sources and fate of heterocyclic compounds in drugs into the environment [<a href="#B70-organics-06-00001" class="html-bibr">70</a>,<a href="#B71-organics-06-00001" class="html-bibr">71</a>,<a href="#B72-organics-06-00001" class="html-bibr">72</a>].</p>
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<p>Toxicological impacts of heterocyclic pharmaceuticals on human health.</p>
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19 pages, 12133 KiB  
Article
Deterioration of Concrete Under Simulated Acid Rain Conditions: Microstructure, Appearance, and Compressive Properties
by Lingxu Li, Norazura Muhamad Bunnori and Chee Ghuan Tan
Buildings 2025, 15(1), 120; https://doi.org/10.3390/buildings15010120 - 2 Jan 2025
Viewed by 225
Abstract
The effects of acid rain corrosion on the properties of concrete are broadly understood. This study investigated the impact of varying corrosion conditions on the microstructure and mechanical properties of concrete, which has not received sufficient attention using scanning electron microscopy (SEM), energy [...] Read more.
The effects of acid rain corrosion on the properties of concrete are broadly understood. This study investigated the impact of varying corrosion conditions on the microstructure and mechanical properties of concrete, which has not received sufficient attention using scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), and compressive tests. In the laboratory, simulated acid rain solutions with pH levels of 0.0, 1.0, and 2.0 were prepared using sulfuric acid solution. A total of 13 sets of 39 concrete cubes each were immersed in these acid solutions for durations of 7, 14, 21, and 28 days. The findings clearly indicate that simulated acid rain corrosion significantly affects both the microstructure and mechanical properties of concrete. Acid alters the material composition of concrete and simultaneously increases the formation of pores within it. This not only changes the number, area, and perimeter of the pores but also affects their shape parameters, including circularity and fractal box-counting dimension. These pores typically measure less than 0.4 μm and include micro- and medium-sized pores, contributing to the more porous and structurally loose concrete matrix. As the duration of acid exposure and the concentration of the acid solution increase, there is noticeable decrease in compressive strength, accompanied by changes in the concrete structure. The rate of strength reduction varies from 6.05% to 37.90%. The corrosion process of acid solution on concrete is characterized by a gradual advancement of the corrosion front. However, this progression slows over time because as the corrosion depth increases, the penetration of the acid solution into deeper layers becomes limited, thereby reducing the rate of strength deterioration. The deterioration mechanism of concrete can be attributed to dissolution corrosion caused by H+ ions and expansion corrosion due to the coupling of SO42− ions. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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<p>The preparation process of the concrete corrosion test cubes: the concrete cubes are completed after making and curing (<b>a</b>); corrosion-resistant plastic tubs were soaked in solutions of varying concentrations (<b>b</b>) and removed after a specified period of time (<b>c</b>).</p>
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<p>The concrete specimens tested after undergoing corrosion treatment: (<b>a</b>) All 39 specimens to be tested. (<b>a</b>–<b>g</b>): Partially corroded specimens just completed for visual inspection.</p>
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<p>The microstructure of concrete exposed to pure water (<b>a</b>,<b>b</b>) and corroded by acid solution (<b>c</b>–<b>f</b>) is depicted as follows: (<b>a</b>,<b>b</b>): Ca(OH)<sub>2</sub> crystals and C-S-H gel are clearly visible on the surface. (<b>c</b>,<b>d</b>): Severe cavitation consequences and a flocculent structure of pH028d. (<b>e</b>,<b>f</b>): Microstructure of pH014d observed along with the element percentage from two sections obtained by EDS. These observations and analyses provide insights into how simulated acid rain affects the composition and microstructure of concrete under different exposure conditions.</p>
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<p>Microstructure and elemental composition of the interface analyzed by EDS between corroded and uncorroded regions of the specimen (pH014d). (<b>a</b>,<b>c</b>) show the microstructure of the interface, while (<b>b</b>,<b>d</b>) illustrate the corresponding elemental percentages in the analyzed regions.</p>
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<p>The corroded (<b>a</b>) and uncorroded (<b>b</b>) areas are processed into binarized images, respectively (<b>c</b>,<b>d</b>). (The specimen of pH014d is used for analysis here because, among all SEM observations, it captures the corrosion front under microscopic conditions the best). The white area represents pores formed by corrosion and pores between different particles, and the black represents the matrix.</p>
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<p>Pore statistics results based on SEM. The difference between the corroded and uncorroded areas was compared from the parameters of the count (<b>a</b>), area (<b>b</b>), perimeter of different pore sizes (<b>c</b>), and roundness (<b>d</b>).</p>
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<p>Using the non-corroded region as an example, square grids of varying sizes (side length r) are applied to cover the image. The number of pore pixels (Nr) within each grid is calculated.</p>
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<p>Failure modes of partial concrete cubes. Due to space limitations, only three specimens immersed in pure water and one of the three specimens with different immersion concentrations and times are shown here. (<b>a</b>) Cubes immersed in pure water, showing minimal cracking and slight base crushing. (<b>b</b>) Cubes exposed to acid rain, with visible coarse aggregates and surface corrosion. (<b>c</b>) Cubes under moderate acid concentration, showing cracks, voids, and surface weakening. (<b>d</b>) Cubes under high-concentration acid, exhibiting severe cracking, void formation, and structural failure.</p>
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<p>Stress–strain curve of concrete cubes. Three concrete cubes were carried out for each corrosion condition. However, for the sake of readability, only three specimens immersed in pure water and one of the three specimens in each corrosion condition are shown in this figure.</p>
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<p>The compressive strength results of concrete cube specimens under different corrosion conditions.</p>
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<p>The reduction rate of the compressive strength calculated according to Xie [<a href="#B11-buildings-15-00120" class="html-bibr">11</a>].</p>
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27 pages, 2642 KiB  
Review
Redox Potential and Its Control in Research and Commercial Wine Fermentations
by James Nelson, Roger Boulton and André Knoesen
Fermentation 2025, 11(1), 9; https://doi.org/10.3390/fermentation11010009 - 2 Jan 2025
Viewed by 402
Abstract
Redox potential is a solution property that influences specific yeast and bacterial activities and the rate of fermentation completion. There is a need to control it if reproducible fermentation outcomes are to be achieved and reliable conclusions are drawn at both the research [...] Read more.
Redox potential is a solution property that influences specific yeast and bacterial activities and the rate of fermentation completion. There is a need to control it if reproducible fermentation outcomes are to be achieved and reliable conclusions are drawn at both the research and commercial scale of wine fermentation. Desirable outcomes that have been observed so far in wine fermentation include the prevention of sluggish and incomplete fermentations, an enhancement in cell viability, increases in the maintenance rate of non-growing cells, and the avoidance of hydrogen sulfide formation when elemental sulfur is present. Other expected fermentation outcomes include changes in the ratios of glycerol and succinate to ethanol, certain aroma and flavor components, and sulfite formation from sulfate in the juice. The juice composition determines the redox potential’s initial value, and the yeast strain’s interaction with the changing juice composition determines the pattern of the potential during fermentation. This interaction also establishes the dynamic response of the prevailing redox buffer to disturbances and the ability to control the potential during fermentation. The chemical reaction sequence, entities, and speciation thought to be responsible for establishing the redox potential in juices and wine are described. A quantitative model for control purposes remains elusive. Examples of the role of added iron in juice, different yeast strains, ambient light, and the addition of external hydrogen peroxide on the response of the potential are presented. Recent examples of controlling the redox potential during white wine and red wine fermentation at a commercial scale are presented, and areas for future research are identified. Full article
(This article belongs to the Section Fermentation Process Design)
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<p>The density and redox potential curves of 5 yeast strains in a defined wine-like medium, in glass fermentors. Fermentations were performed at different times. Reproduced with permission from author [<a href="#B96-fermentation-11-00009" class="html-bibr">96</a>].</p>
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<p>The effect of the duration of a controlled potential of −50 mV on the density and potential curves (<b>A</b>) and cell mass growth (<b>B</b>). Reproduced with permission from author [<a href="#B103-fermentation-11-00009" class="html-bibr">103</a>].</p>
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<p>The effect of the setpoint potential (−30, −60, and −90 mV) on the density and potential curves (<b>A</b>) and the growth of cell mass (<b>B</b>). Reproduced with permission from author [<a href="#B103-fermentation-11-00009" class="html-bibr">103</a>].</p>
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<p>Controlled redox potential at scale, 140 KL Sauvignon Blanc wine fermentation at the Delegat Winery in 2024.</p>
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<p>Monitoring of density, juice and skin cap temperatures, and juice redox potential in a 40 KL Cabernet Sauvignon fermentation at the Opus One Winery in 2024.</p>
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<p>The effect of added ferrous sulfate on the redox potential during a wine fermentation at 20 °C EC1118 yeast strain.</p>
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<p>Redox potential is controlled at −40 °C by adding a dilute hydrogen peroxide solution in wine fermentation at 26 °C. Laffort B0213 yeast.</p>
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18 pages, 3170 KiB  
Article
Aroma Analysis of Table Grape Berries Based on Electronic Nose Detection
by Shengyang Niu, Xuewei Liu, Meiling Lin, Xiucai Fan, Ying Zhang, Lei Sun, Chonghuai Liu and Jianfu Jiang
Agronomy 2025, 15(1), 104; https://doi.org/10.3390/agronomy15010104 - 1 Jan 2025
Viewed by 525
Abstract
In this study, the aroma of 182 table grapes was detected using a PEN3.5 electronic nose in order to explore the aroma components of table grape berries and provide a reference for aroma evaluation and quality improvements. Table grape varieties from the Zhengzhou [...] Read more.
In this study, the aroma of 182 table grapes was detected using a PEN3.5 electronic nose in order to explore the aroma components of table grape berries and provide a reference for aroma evaluation and quality improvements. Table grape varieties from the Zhengzhou Fruit Research Institute of the Chinese Academy of Agricultural Sciences were used as research materials. All of them were harvested in fruit trees over 10 years old from August to October 2023, which provided a reference for aroma evaluation and quality improvement of the table grapes. Radar analysis, correlation analysis, principal component (PCA) analysis, cluster analysis, and difference analysis were used to study these aroma substances. The results show that the sensor contribution rate from high to low is W5S (nitrogen oxides), W2S (alcohols and some aromatic compounds), W1S (alkanes), and W2W (sensor contribution rate from high to low). Cluster analysis can distinguish the varieties of table grapes a with common aroma content, and the varieties with a higher content are in the second category (II). PCA showed that the contribution rate of the first and second principal components of the three main sensors was 97.6% and 2.3%, respectively, and the total contribution value was 99.9%. The contribution rates of the first and second principal components of the three aromatic sensors are 79.5% and 15.9%, respectively, and the total contribution value is 95.4%. The results showed that there were significant differences in the content and composition of aroma substances in different grape varieties. Eight special germplasm with strong aroma (organic compounds of nitrogen oxides, alcohols, alkanes and sulfur) were selected: ‘Spabang’, ‘Neijingxiang’, ‘Zaotian Muscat’, ‘Jinmeigui’, ‘Zhengguo 6’, ‘Muscat Angel’, ‘Zizao’, and ‘Qiumi’. This study confirmed that electronic nose technology can effectively distinguish different varieties of table grapes. This study not only provides a scientific basis for the variety selection for the table grape processing industry, but it can also be used for male or female grape hybridization, which provides valuable data resources for table grape breeding. Full article
(This article belongs to the Special Issue Postharvest Physiology of Fruits and Vegetables—2nd Edition)
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<p>Sensor response to aroma of “cardinal” table grape variety.</p>
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<p>Radar map of electronic nose response values of different grape varieties. Note: (<b>A</b>): <span class="html-italic">V. vinifera</span> × <span class="html-italic">V. labrusca</span>; (<b>B</b>): <span class="html-italic">V. vinifera</span>.</p>
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<p>The cluster analysis of 182 table grape germplasm was carried out based on 10 sensor response values. Note: green is the first class (I); red and blue are the second class (II).</p>
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<p>PCA of response values of three main sensors.</p>
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<p>PCA of response values of three aromatic sensors.</p>
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<p>Comparison of response values of the three main sensors. Note: (<b>A</b>): W5S sensor response value; (<b>B</b>): W2S sensor response value; (<b>C</b>): W1S sensor response value.</p>
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<p>Comparison of response values of three aromatic sensors. Note: (<b>A</b>): W1C sensor response value; (<b>B</b>): W3S sensor response value; (<b>C</b>): W2W Sensor response value.</p>
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19 pages, 5354 KiB  
Article
Geophysical Characteristics of Low-Sulfide Epithermal Gold Mineralized Bodies—A Case Study of the Alinghe Mining Area on the South Bank of the Heilong River in China
by Qichun Yin, Kang Wang, Guili Tan, Yuan Ji, Huaben Yang, Haijiang Chen, Yanhai Sun, Qin Liu and Tong Sun
Minerals 2025, 15(1), 47; https://doi.org/10.3390/min15010047 - 1 Jan 2025
Viewed by 428
Abstract
The inability of geophysical methods to directly detect gold ore bodies remains a hot topic in the realm of gold geophysical exploration. Through the analysis of high-precision magnetic method, resistivity and induced polarization methods with the gradient arrays, electrical resistivity tomography, and well [...] Read more.
The inability of geophysical methods to directly detect gold ore bodies remains a hot topic in the realm of gold geophysical exploration. Through the analysis of high-precision magnetic method, resistivity and induced polarization methods with the gradient arrays, electrical resistivity tomography, and well logging, combined with the discovery of gold mineralization in exploration trenches and boreholes, it has been found that gold mineralization can be classified into two types: terminal and channel. The terminal-type gold mineralization is marked by a buried depth of less than 30 m, accompanied by varying degrees of silicification and pyritization. In contrast, the channel-type of gold mineralization is buried deeper than 30 m and occurs within structural fractures or volcanic breccia mineralized alteration zones. The resistivity difference constitutes a significant geophysical indicator differentiating these two types of gold mineralization. Both types of gold mineralization are located adjacent to IP anomalies, potentially suggesting characteristics of low-sulfur gold mineralization. After comparing several globally typical epithermal gold deposits, we conclude that the findings presented in this paper encapsulate the geophysical traits of an un-eroded, low-sulfidation epithermal gold deposit. These insights offer a valuable reference for the direct detection of similar gold orebodies using geophysical methods. Full article
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<p>(<b>a</b>) The structural location map of Alinghe Mining Area (according to Pan et al., 2009 [<a href="#B27-minerals-15-00047" class="html-bibr">27</a>]) and (<b>b</b>) the geological map. 1: Nen River-Balihan fault; 2: northwest boundary fault of Songnen basin; 3: Yilan-Yitong fault; EB: Erguna block; XB: Xing’an Block; SXB: Songnen-Xilinhot block; XXS: Xinlin-Xigutu suture zone; HHS: Hegan Mountain-Heihe suture zone.</p>
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<p>Sketch map for the gradient arrays used in RIP measurements.</p>
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<p>Map of magnetic field ΔT contour and geological boundary in the study area (see <a href="#minerals-15-00047-f001" class="html-fig">Figure 1</a> for location and names of rocks).</p>
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<p>Contour plots of apparent resistivity (<b>a</b>) and apparent amplitude frequency rate (equivalent to apparent polarizability) (<b>b</b>) in the RI-1 region and apparent resistivity (<b>c</b>) and apparent amplitude frequency rate (<b>d</b>) in the RI-2 region in the study area (see <a href="#minerals-15-00047-f001" class="html-fig">Figure 1</a> for location of RI-1 and RI-2).</p>
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<p>Gold-bearing silicified andesite revealed in ET-1.</p>
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<p>Inversion and interpretation profiles of ERT-1 (<b>a</b>) resistivity, (<b>b</b>) chargeability and ERT-2, (<b>c</b>) resistivity, and (<b>d</b>) chargeability (see <a href="#minerals-15-00047-f001" class="html-fig">Figure 1</a> for location).</p>
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<p>Main logging curves and results of the borehole BH-1 (the colors in lithology column correspond to the descriptions provided in <a href="#sec4dot5dot1-minerals-15-00047" class="html-sec">Section 4.5.1</a>.).</p>
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<p>Crossplot of geophysical parameters of andesitic surrounding rock (<b>a</b>), andesitic volcanic breccia (<b>b</b>), gold mineralized bodies, and other meaningful logging sections (<b>c</b>) of the borehole BH-1.</p>
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20 pages, 9495 KiB  
Article
Dominance of Sulfur-Oxidizing Bacteria, Thiomicrorhabdus, in the Waters Affected by a Shallow-Sea Hydrothermal Plume
by Chih-Ching Chung, Gwo-Ching Gong, Hsiao-Chun Tseng, Wen-Chen Chou and Chuan-Hsin Ho
Biology 2025, 14(1), 28; https://doi.org/10.3390/biology14010028 - 1 Jan 2025
Viewed by 398
Abstract
The shallow-sea hydrothermal vent at Guishan Islet, located off the coast of Taiwan, serves as a remarkable natural site for studying microbial ecology in extreme environments. In April 2019, we investigated the composition of prokaryotic picoplankton communities, their gene expression profiles, and the [...] Read more.
The shallow-sea hydrothermal vent at Guishan Islet, located off the coast of Taiwan, serves as a remarkable natural site for studying microbial ecology in extreme environments. In April 2019, we investigated the composition of prokaryotic picoplankton communities, their gene expression profiles, and the dissolved inorganic carbon uptake efficiency. Our results revealed that the chemolithotrophs Thiomicrorhabdus spp. contributed to the majority of primary production in the waters affected by the hydrothermal vent plume. The metatranscriptomic analysis aligned with the primary productivity measurements, indicating the significant gene upregulations associated with carboxysome-mediated carbon fixation in Thiomicrorhabdus. Synechococcus and Prochlorococcus served as the prokaryotic photoautotrophs for primary productivity in the waters with lower influence from hydrothermal vent emissions. Thiomicrorhabdus and picocyanobacteria jointly provided organic carbon for sustaining the shallow-sea hydrothermal vent ecosystem. In addition to the carbon fixation, the upregulation of genes involved in the SOX (sulfur-oxidizing) pathway, and the dissimilatory sulfate reduction indicated that energy generation and detoxification co-occurred in Thiomicrorhabdus. This study improved our understanding of the impacts of shallow-sea hydrothermal vents on the operation of marine ecosystems and biogeochemical cycles. Full article
(This article belongs to the Special Issue Multi-Omics of Extremophilic Organisms)
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<p>The map of the Guishan Islet and the sampling locations of the stations. The area marked with dashes in (<b>Right</b>) is the location of the shallow-sea hydrothermal vent. Stations H1 and M1 are near the shallow-sea hydrothermal vent. The waters from Stations H2 to H4 and M2 to M4 are mixed with the hydrothermal vent plume and Kuroshio seawater. The waters from Stations C1 to C3 are seldom affected by hydrothermal vent plume. The extent of mixing varies according to the distance from the hydrothermal vent.</p>
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<p>The vertical profiles of (<b>A</b>,<b>E</b>,<b>I</b>) dissolved oxygen saturation (DOS, %), (<b>B</b>,<b>F</b>,<b>J</b>) pH, (<b>C</b>,<b>G</b>,<b>K</b>) the concentrations of methane (CH<sub>4</sub>) and (<b>D</b>,<b>H</b>,<b>L</b>) chlorophyll <span class="html-italic">a</span> (Chl <span class="html-italic">a</span>) in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019. The locations of the stations are indicated on the upper side of each column.</p>
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<p>The vertical distributions of (<b>A</b>,<b>E</b>,<b>I</b>) <span class="html-italic">Synechococcus</span>, (<b>B</b>,<b>F</b>,<b>J</b>) <span class="html-italic">Prochlorococcus</span>, (<b>C</b>,<b>G</b>,<b>K</b>) eukaryotic picophytoplankton, and (<b>D</b>,<b>H</b>,<b>L</b>) heterotrophic bacteria in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019. The locations of the stations are indicated on the upper side of each column.</p>
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<p>The dissolved inorganic carbon (DIC) fixation efficiency in the waters of (<b>A</b>) surface and (<b>B</b>) deep layers surrounding the Guishan Islet during the period from 15 to 17 April 2019. The data retrieved from the samples incubated under the light intensity at 2200 μmole photons m<sup>−2</sup> s<sup>−1</sup> and in the dark are indicated as white and black bars. “nd” means “non-detectable”.</p>
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<p>The (<b>A</b>) abundance-based coverage estimator (ACE) and (<b>B</b>) Shannon diversity indices of the community assemblages of prokaryotic picoplankton, which were inferred from the ASV composition based on the V3 to V4 region of 16S rRNA gene (16S rDNA) sequences in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019. The letters S and D indicate the surface and deep layer samples, respectively.</p>
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<p>The assemblage composition of prokaryotic picoplankton, (<b>A</b>,<b>B</b>) total prokaryotic picophytoplankton (in phylum level), (<b>C</b>,<b>D</b>) <span class="html-italic">Gammaprobacteria</span>, and (<b>E</b>,<b>F</b>) picocyanobacteria, in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019, which were inferred from the V3 to V4 region of 16S rRNA gene (16S rDNA) sequences. The upper panels (<b>A</b>,<b>C</b>,<b>E</b>) and lower panels (<b>B</b>,<b>D</b>,<b>F</b>) show the compositions of prokaryotic picoplankton in the surface and deep layers, respectively.</p>
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<p>The assemblage composition of active prokaryotic picoplankton, (<b>A</b>,<b>B</b>) total active prokaryotic picophytoplankton (in phylum level), (<b>C</b>,<b>D</b>) <span class="html-italic">Gammaprobacteria</span>, and (<b>E</b>,<b>F</b>) picocyanobacteria, in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019, which were inferred from the V3 to V4 region of 16S rRNA (16S rRNA) sequences. The upper panels (<b>A</b>,<b>C</b>,<b>E</b>) and lower panels (<b>B</b>,<b>D</b>,<b>F</b>) show the compositions of prokaryotic picoplankton in the surface and deep layers, respectively.</p>
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<p>The nonmetric multidimensional scaling (nMDS) ordination analysis of the community composition of prokaryotic picoplankton in the waters surrounding the Guishan Islet from 15 to 17 April 2019. The correlation relationships between the picoplankton assemblages and environmental factors among all stations were assessed with the function “envfit” (number of permutations = 999) in the R package “vegan”. The solid and dashed lines indicate significance (<span class="html-italic">p</span>-value) at the ≤0.01 and ≤0.05 levels, respectively. T, temperature; TM, turbidity; DOS, dissolved oxygen saturation.</p>
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<p>The nMDS ordination analysis of the transcript compositions of prokaryotic picoplankton in the waters surrounding the Guishan Islet during the period from 15 to 17 April 2019.</p>
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<p>The comparison of carbon fixation-related gene expression across the surface and deep waters of different stations near the hydrothermal vent of Guishan Islet from 15 to 17 April 2019. Gene names in green or orange denote their affiliation with either picocyanobacteria or <span class="html-italic">Thiomicrorhabdus</span>. The difference in the expression of each gene is expressed as a z-score. Red represents upregulation, and blue represents downregulation. The letters S and D indicate the samples obtained from the surface and deep layer, respectively.</p>
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<p>(<b>A</b>) The comparison of sulfur metabolism-related gene expression in <span class="html-italic">Thiomicrorhabdus</span> cells across the surface and deep waters of different stations located near the hydrothermal vent of Guishan Islet from 15 to 17 April 2019. The difference in expression of each gene is expressed as a z-score. Red represents upregulation, and blue represents downregulation. The letters S and D indicate the samples obtained from the surface and deep layer, respectively. (<b>B</b>) Schematic representation of the locations of the genes shown in panel (<b>A</b>) within the sulfur metabolism pathway [<a href="#B34-biology-14-00028" class="html-bibr">34</a>]. APS: adenosine phosphosulfate; PAPS: phosphoadenosine phosphosulfate.</p>
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18 pages, 11061 KiB  
Article
Humic Acid Enhances Antioxidant and Glyoxalase Systems to Combat Copper Toxicity in Citrus
by Wei-Tao Huang, Xu-Feng Chen, Wei-Lin Huang, Qian Shen, Fei Lu, Ning-Wei Lai, Jiuxin Guo, Lin-Tong Yang, Xin Ye and Li-Song Chen
Agronomy 2025, 15(1), 99; https://doi.org/10.3390/agronomy15010099 - 1 Jan 2025
Viewed by 283
Abstract
Most commercial citrus fruits are grown in acidic soils with high copper (Cu) and low organic matter levels in China. Sweet orange (Citrus sinensis (L.) Osbeck cv. Xuegan) seedlings were treated with 0 (HA0), 0.1 (HA0.1), or 0.5 (HA0.5) mM humic acid [...] Read more.
Most commercial citrus fruits are grown in acidic soils with high copper (Cu) and low organic matter levels in China. Sweet orange (Citrus sinensis (L.) Osbeck cv. Xuegan) seedlings were treated with 0 (HA0), 0.1 (HA0.1), or 0.5 (HA0.5) mM humic acid (HA) and 0.5 (Cu0.5) or 400 (Cu400 or Cu excess) μM CuCl2 for 24 weeks. The purpose was to validate the hypothesis that HA reduces the oxidative injury caused by Cu400 in roots and leaves via the coordination of strengthened antioxidant defense and glyoxalase systems. Copper excess increased the superoxide anion production rate by 27.0% and 14.2% in leaves and by 47.9% and 33.9% in roots, the malonaldehyde concentration by 199.6% and 27.8% in leaves and by 369.4% and 77.4% in roots, and the methylglyoxal concentration by 18.2% and 6.6% in leaves and by 381.8% and 153.3% in roots, as well as the H2O2 production rate (HPR) by 70.5% and 16.5% in roots, respectively, at HA0 and HA0.5. Also, Cu400 increased the leaf HPR at HA0, but not at HA0.5. The addition of HA reduced the Cu400-induced production and accumulation of reactive oxygen species and methylglyoxal and alleviated the impairment of Cu400 to the antioxidant defense system (ascorbate-glutathione cycle, antioxidant enzymes, sulfur-containing compounds, and sulfur-metabolizing enzymes) and glyoxalase system in roots and leaves. The HA-mediated amelioration of Cu toxicity involved reduced oxidative injury due to the coordination of strengthened antioxidant defense and glyoxalase systems. These findings highlight the promise of HA for sustainable citrus cultivation in heavy metal (Cu)-polluted soils. Full article
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<p>Mean (±SE, <span class="html-italic">n</span> = 4) A<sub>CO2</sub> (<b>A</b>), g<sub>s</sub> (<b>B</b>), C<sub>i</sub> (<b>C</b>), and IWUE (<b>D</b>) in the leaves of sweet orange seedlings submitted to Cu-HA treatments. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. Cu: NS and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for Cu and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Mean (±SE, <span class="html-italic">n</span> = 4) HPR (<b>A</b>), SAPR (<b>B</b>), and concentrations of MDA (<b>C</b>) and MG (<b>D</b>) in the leaves (above column) and roots (below column) of sweet orange seedlings submitted to Cu-HA treatments. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. HA: NS and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for HA and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Mean (±SE, n = 4) activities of APX (<b>A</b>), DHAR (<b>B</b>), GR (<b>C</b>), CAT (<b>D</b>), MDHAR (<b>E</b>), and SOD (<b>F</b>) in the leaves (above column) and roots (below column) of sweet orange seedlings submitted to Cu-HA treatments. MDHA, monodehydroascorbate. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. HA: NS, Cu: NS, and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for HA, Cu, and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Mean (±SE, <span class="html-italic">n</span> = 4) activities of ATPS (<b>A</b>), APR (<b>B</b>), SiR (<b>C</b>), CS (<b>D</b>), γGCS (<b>E</b>), γGT (<b>F</b>), GST (<b>G</b>), and GlPX (<b>H</b>) in the leaves (above column) and roots (below column) of sweet orange seedlings submitted to Cu-HA treatments. OAS, O-acetylserine; Gly-Gly, glycylglycine. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. HA: NS, Cu: NS, and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for HA, Cu, and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Mean (±SE, n = 4) activities of Gly I (<b>A</b>), Gly II (<b>B</b>), and D-LDH (<b>C</b>), as well as concentrations of MTs (<b>D</b>), PCs (<b>E</b>), and TNP-SH (<b>F</b>), in the leaves (above column) and roots (below column) of sweet orange seedlings submitted to Cu-HA treatments. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. HA: NS and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for HA and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Mean (±SE, <span class="html-italic">n</span> = 4) ASC + DHA (TA; (<b>A</b>)), ASC (<b>B</b>), and DHA (<b>C</b>) concentrations, ASC/TA ratios (<b>D</b>), GSH + GSSG (TG; (<b>E</b>)), GSH (<b>F</b>), and GSSG (<b>G</b>) concentrations, and GSH/TG ratios (<b>H</b>) in the leaves (above column) and roots (below column) of sweet orange seedlings submitted to Cu-HA treatments. The bars with different letters indicate significant differences at <span class="html-italic">p</span> ≤ 0.05. HA: *, Cu: *, and HA × Cu: * indicate that the <span class="html-italic">F</span> values of HA, Cu, and HA × Cu are significant at <span class="html-italic">p</span> ≤ 0.05. HA: NS, Cu: NS, and HA × Cu: NS indicate that the <span class="html-italic">F</span> values for HA, Cu, and HA × Cu are not significant (<span class="html-italic">p</span> &gt; 0.05).</p>
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<p>Principal coordinate analysis plots of roots (32 parameters; (<b>A</b>)), leaves (36 parameters; (<b>B</b>)), and roots and leaves (32 common parameters for roots and leaves; (<b>C</b>)) from sweet orange seedlings treated with 0.5 or 400 μM Cu and 0, 0.1, or 0.5 mM HA. LCu0.5HA0, leaves of 0.5 μM Cu + 0 mM HA-treated seedlings; LCu0.5HA0.1, leaves of 0.5 μM Cu + 0.1 mM HA-treated seedlings; LCu0.5HA0.5, leaves of 0.5 μM Cu + 0.5 mM HA-treated seedlings; LCu400HA0, leaves of 400 μM Cu + 0 mM HA-treated seedlings; LCu400HA0.1, leaves of 400 μM Cu + 0.1 mM HA-treated seedlings; and LCu400HA0.5, leaves of 400 μM Cu + 0.5 mM HA-treated seedlings; RCu0.5HA0, roots of 0.5 μM Cu + 0 mM HA-treated seedlings; RCu0.5HA0.1, roots of 0.5 μM Cu + 0.1 mM HA-treated seedlings; RCu0.5HA0.5, roots of 0.5 μM Cu + 0.5 mM HA-treated seedlings; RCu400HA0, roots of 400 μM Cu + 0 mM HA-treated seedlings; RCu400HA0.1, roots of 400 μM Cu + 0.1 mM HA-treated seedlings; and RCu400HA0.5, roots of 400 μM Cu + 0.5 mM HA-treated seedlings.</p>
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<p>A model for the HA-mediated alleviation of oxidative damage caused by excess Cu in sweet orange leaves and roots. (<b>A</b>), LCu400HA0.5 vs. LCu0.5HA0.5 (above) and RCu400HA0.5 vs. RCu0.5HA0.5 (below); (<b>B</b>), LCu400HA0 vs. LCu0.5HA0 (above) and RCu400HA0 vs. RCu0.5HA0 (below). Red and pink: upregulation, with a greater change in “red” than in “pink” when comparing between “(<b>A</b>)” and “(<b>B</b>)” for the same parameter in leaves (roots); Green and blue: downregulation, with a greater change in “green” than in “blue” when comparing between “(<b>A</b>)” and “(<b>B</b>)” for the same parameter in leaves (roots); Black, unchanged metabolites and enzymes; Golden, undetermined metabolites.</p>
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17 pages, 5726 KiB  
Article
Study on the Strength and Microstructure of Coal Gangue Concrete Using Sulfurized CO2 Composite Gas and Steam Carbon Fixation
by Huanjie Su, Hailong Wang, Qingfu Li and Wengyan Zhang
Sustainability 2025, 17(1), 243; https://doi.org/10.3390/su17010243 - 31 Dec 2024
Viewed by 509
Abstract
Addressing the complex physicochemical properties of coal gangue from typical mining areas in Inner Mongolia, this study focuses on this area’s abundant reserves coupled with the low utilization rate and significant strength variability of ecological slope protection materials. Notably, research on the alkalization–carbonization [...] Read more.
Addressing the complex physicochemical properties of coal gangue from typical mining areas in Inner Mongolia, this study focuses on this area’s abundant reserves coupled with the low utilization rate and significant strength variability of ecological slope protection materials. Notably, research on the alkalization–carbonization of coal gangue remains scarce. To bridge this gap, we propose a method leveraging the moisture migration behavior of coal gangue porous media. By utilizing continuous displacement high-temperature steam carbon sequestration enhancement technology, internal moisture is gradually and precisely controlled to induce the formation of high-temperature carbonic acid gas. This process facilitates internal carbon sequestration and effectively locks in the sequestration effect. This approach enables effective loading of sulfurized CO2 composite gases in a reversible manner, achieving passive carbon sequestration driven by moisture migration. Consequently, it enhances the negative carbon content within the aggregates while bolstering their mechanical properties. After alkalization pretreatment with various concentrations and three hours of carbon sequestration, the microhardness of the aggregate surface and transition zone were observed to have increased by 24.3% and 36.4%, respectively. Additionally, the compressive and splitting tensile strengths of coal gangue concrete rose by 4.8 MPa and 0.4 MPa, respectively, while porosity decreased by up to 3.6%, and the proportion of harmful pores dropped from 11.22% to 6.54%. A strong correlation between the proportion of harmless/low-harm pores and strength development was observed. Overall, the high-temperature carbonic acid steam displacement method with sulfurized CO2 composite gases effectively improves the physicochemical properties of coal gangue aggregates and enhances surface activity and hydration in the interface transition zone, meeting the engineering standards for in situ ecological remediation in Inner Mongolia’s mining areas. Full article
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Figure 1
<p>Aggregate grading: (<b>a</b>) natural sand grading; (<b>b</b>) coal gangue grading.</p>
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<p>Aggregate treatment.</p>
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<p>The principle of aggregate treatment.</p>
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<p>Distribution of microhardness measurement points.</p>
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<p>Aggregate barrel compressive strength and water absorption rate.</p>
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<p>Compressive strength of standard specimens.</p>
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<p>Splitting compressive strength of standard specimens.</p>
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<p>Fluid saturation and porosity obtained through NMR analysis.</p>
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<p>T2 spectra following NMR pore inversion.</p>
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<p>Aperture classification following NMR pore inversion.</p>
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<p>Correlation heat map including porosity parameters.</p>
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<p>Microhardness values of ITZ.</p>
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<p>XRD spectrum containing ITZ.</p>
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<p>EDS spectrum containing ITZ.</p>
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<p>SEM image containing hydration products.</p>
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